Forward Deployed Engineer

Raindrop; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Raindrop in San Francisco is seeking an exceptional in-person Customer Engineer to help onboarding and support customers using Raindrop's AI monitoring platform. You will embed with our customers, debug production issues, and turn insights into product feedback that guides our roadmap.

Ideal candidates are top communicators, strong engineers who can read code and fix bugs hands-on, and excited to work closely with leadership from day one in a fast-growing AI startup.

Qualifications

• Excellent communication and presentation skills.
• Ability to read and debug production code.
• Interest in AI products and tools.
• Willing to work in person in San Francisco.

Responsibilities

• Embed with customers to get them up and running on Raindrop.
• Own customer problems end-to-end, debugging across their agents and our platform.
• Turn what you learn on the ground into product feedback that shapes our roadmap.

Skills

Top communicator

Hands-on engineer

AI product interest

Growth mindset

Bug fixing

Customer-facing

Job description

About Raindrop

Raindrop is the monitoring platform for AI agents. Engineering teams at Fortune 100s and the fastest-growing AI companies (Vercel, Speak, Clay) use it to catch silent failures in production. When an agent misbehaves, Raindrop alerts the team, links to the trace, and surfaces the root cause so they can fix it fast. With Raindrop 2.0 (Self-Healing Agents), the loop closes itself: your coding agent fixes it, and the fix becomes an eval to prevent regressions.

Why It Matters

AI agents fail constantly in ways both hilarious and terrifying. Regular software throws exceptions. But AI agents fail silently, leaving engineers with almost no visibility into how their agents are actually performing.

The current status quo is sifting through millions of logs and trying to debug flaky evals that just aren't matching real world results. Evals are like unit tests, they confirm your model got specific test cases right. But in the real world agents call thousands of tools, run for hours, and encounter millions of unpredictable actions.

That’s where Raindrop comes in. It learns the unique shape of each AI agent’s issues. Starting from presets like Laziness, Forgetting, or Task Failure, to automatically tuning itself to each agent and discovering unknown unknowns.

With one click of a button, AI engineers start tracking issues or topics across 100% of their production data. They can see frequency over time, how many users are affected, relevant properties and more.

In order to process hundreds of millions of events, we gradually train small, custom models, private to each company, that learn to uniquely understand how their product is used.

As part of the early team, you’ll play a fundamental role in shaping the company - from making strategy and product decisions, to helping scale the team, to shaping the future of AI agents.

Our Investors

We've raised $50M total, led by CRV, with backing from Lightspeed, Figma Ventures, Vercel Ventures, and the founders of Replit (Amjad Masad, Michele Catasta), Cognition (Walden Yan), Framer (Koen Bok, Jorn van Dijk), Speak (Andrew Hsu), and Notion (Akshay Kothari).

Your Focus

• Embed with our customers to get them up and running on Raindrop

• Own customer problems end-to-end, debugging across their agents and our platform

• Turn what you learn on the ground into product feedback that shapes our roadmap

Ideal Candidate

• Top 0.1% communicator who would rather be in front of customers than heads-down all day

• Strong engineer who can read a codebase, debug production systems, and fix customer bugs hands-on

• Interest in AI products + tools (ideally experience building these or an avid user)

• Growth mindset

• Willing to do whatever it takes to solve a problem

• Excited to work closely with leadership and own high-impact work from day one.

• Must be in person in San Francisco (or willing to move)